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Dynamic neighborhood grouping-based multi-objective scheduling algorithm for workflow in hybrid cloud

Future Generation Computer Systems(2024)10.1016/j.future.2024.107633Source: DataRank Database

Dynamic neighborhood grouping-based multi-objective scheduling algorithm for workflow in hybrid cloud is a research paper published in Future Generation Computer Systems (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

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0DataRank · unranked

Scored on demand from live citation data

10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 6.58)OA: closedTopics (14)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Bo Liu ORCID,Weiwei Lin ORCID,X.X. Ye ORCID,James Z. Wang ORCID,Yulin Guo ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4404851226

National Natural Science Foundation of China

Grant: 62072187

National Institutes of Health

Grant: 2R01HD069374-06A1

Multi-site Study of Dyslexia

Division of Biological Infrastructure

Grant: 1759856

FWCI

6.58

Citation Percentile

1.0%

Citation Trend

2025

2026

closedLicense: Elsevier TDM

publisherhttps://api.elsevier.com/content/article/PII:S0167739X24005971?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0167739X24005971?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.future.2024.107633

Fields of Study

Cloud Computing and Resource ManagementIoT and Edge/Fog ComputingDistributed and Parallel Computing Systems0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceCloud computingWorkflowDistributed computingScheduling (production processes)AlgorithmMathematical optimizationOperating systemDatabase